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Stephen Mack Stigler (born August 10, 1941) is the Ernest DeWitt Burton Distinguished Service Professor at the Department of Statistics of the University of Chicago. [1] He has authored several books on the history of statistics ; he is the son of the economist George Stigler .
Stephen Stigler's father, the economist George Stigler, also examined the process of discovery in economics. He said, "If an earlier, valid statement of a theory falls on deaf ears, and a later restatement is accepted by the science, this is surely proof that the science accepts ideas only when they fit into the then-current state of the science."
Stigler's law, attributed by Stephen Stigler himself to Robert K. Merton, though the phenomenon had previously been noted by others. [37] Stirling's approximation, which was presaged in published work by Abraham de Moivre. Stokes's theorem discovered by Lord Kelvin; Student's t-distribution, previously derived by Helmert and Lüroth.
Stephen Stigler used a Bayesian argument to conclude that Bayes' theorem was discovered by Nicholas Saunderson, a blind English mathematician, some time before Bayes, [11] [12] but that is disputed. [13] Martyn Hooper [14] and Sharon McGrayne [15] have argued that Richard Price's contribution was substantial:
The term statistics is ultimately derived from the Neo-Latin statisticum collegium ("council of state") and the Italian word statista ("statesman" or "politician"). The German Statistik , first introduced by Gottfried Achenwall (1749), originally designated the analysis of data about the state , signifying the "science of state" (then called ...
See the historical books of Stephen Stigler: Edgeworth, Francis Ysidro: Irish: 1845: 1926: Revived exponential families (Laplace transforms) in statistics. Extended Laplace's theory of maximum-likelihood estimation. Introduced basic results on information, which were extended and popularized by R. A. Fisher: Pearson, Karl: English: 1857
Download as PDF; Printable version; In other projects ... Stephen M. Stigler. "Mathematical statistics in the early States". Annals of Statistics, 6:239–265, 1978.
Among the critiques to this work is that it reads more as a work of sociology and political economy than as a technical account of how statistical operations developed, [5] and the critical balance Desrosières needs to maintain between defending the necessity and legitimacy of critical attacks on statistical concepts and methods in the name of sociopolitical progress and the stated need for ...